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08052521_power

Reproducible research on the paper 'Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems'.

2d-convolution-fft-ifft

ECE 558 (Digital Imaging Systems) Project 1

5g_based_system_level_integrated_sensing_and_communication_simulator

System-level Simulator for 5G NR-based Integrated Sensing and Communication (ISAC)

5gnr

64-qam-classification

Optical Communications: 64-QAM classification with neural networks.

a-transceiver-design-based-on-an-autoencoder-network-for-the-multi-color-vlc-system

Official codes for "A Transceiver Design Based on an Autoencoder Network for the Multi-Color VLC System"

ae-com-roadmap

Collections of Papers and Codes about Communication Systems Built by Autoencoder

aftvsotfs

al-massive-mimo

Massive MIMO simulation

alternating-minimization-algorithms-for-hybrid-precoding-in-millimeter-wave-mimo-systems

Simulation codes for "Alternating minimization algorithms for hybrid precoding in millimeter wave MIMO systems," by Xianghao Yu, Juei-Chin Shen, Jun Zhang, and Khaled B. Letaief, IEEE J. Sel. Topics Signal Process., to appear, 2016.

amc-iot

AMC-IoT: Automatic Modulation Classification Using Efficient Convolutional Neural Networks for Low Power IoT Devices

andrewng_ml

From https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes

antennas-simulation

application-of-machine-learning-for-ofdm-signal-detection

학사학위 졸업논문 연구내용 "OFDM 신호검출을 위한 기계학습의 활용" 프로젝트

applied-signal-processing-ssy130

Repository for the course "Applied Signal Processing" - SSY130 at Chalmers University of Technology

autoencoder-based-communication-system

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

autoencoder-for-the-physical-layer

Using Keras to validate the simulation results according to Paper : "An Introduction to Deep Learning for the Physical Layer"

autoencoder_hls

autoencoderfiber

This shows how to use Autoencoders for learning constellations and receivers in fiber optical communications

autoencoders

Implementation of simple autoencoders networks with Keras

automatic-digital-modulation-detection-

This repository presents the code for digital modulation detection in Communication networks

awesome-deep-learning-for-wireless-communication

2018-2019年最新深度学习用于无线通信（物理层）的论文整理，附论文核心**总结与代码分析。（中文）/ A collection of latest papers for wireless communication based on Deep Learning (intelligent communication), with some own understanding and codes analysis.

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

basys-3-gpio

binary-labeling-for-2d-and-4d-constellations

Repository with binary labelings for 2D and 4D modulation formats

blind-channel-estimation-for-dco-ofdm-based-vehicular-visible-light-communication

Blind CE for V2LC

block-dnn

Python implementation of the B-DNN detector.

bpsk_qpsk_ofdm-matlab-codes